oncofiles
Mentioned as the acquirer of marketlocator (a previous project by the founders), but no direct integration capabilities are described in the MCP server functionality.
Provides Dockerfile for deployment to Railway, enabling containerized deployment of the MCP server, but no direct integration capabilities for Docker services are described.
Connects to Gmail accounts to scan for medical emails, auto-detect and classify medical communications, and import relevant medical information into the patient's organized records.
Provides OAuth integration for Google services (Drive, Gmail, Calendar) with per-patient authorization, enabling secure access to medical data across Google's ecosystem.
Provides bidirectional sync with Google Drive, automatically importing medical documents (lab results, CT scans, pathology reports, prescriptions) with OCR companion files and organizing them into 14 medical categories.
Provides search capabilities for PubMed medical research database, enabling AI agents to search for clinical research and medical literature relevant to patient conditions.
Used for data modeling and validation in the MCP server implementation, but no direct integration capabilities for external Pydantic services are described.
Used for testing the MCP server implementation, but no direct integration capabilities for external Pytest services are described.
The programming language used to implement the MCP server, but no direct integration capabilities for external Python services are described.
Provides deployment configuration for Railway hosting platform with included Dockerfile, enabling cloud deployment of the MCP server instance.
Used for linting the MCP server codebase, but no direct integration capabilities for external Ruff services are described.
Provides local database storage option for patient medical data, documents, lab values, and treatment events, with Turso as a cloud alternative.
Provides cloud database storage option as an alternative to SQLite for patient medical data, documents, lab values, and treatment events in distributed deployments.
oncofiles
Your medical records are scattered across Gmail, Google Drive, and Calendar. Oncofiles reads everything, organizes it, and makes it available through AI — so you can ask about your health naturally in Claude or ChatGPT.
oncofiles.com | Demo Dashboard | Privacy Policy
What is this?
Oncofiles is an MCP server built for cancer patients and their caregivers. It connects to your Google Drive, Gmail, and Calendar, reads all your medical documents (lab results, CT scans, pathology reports, prescriptions), and makes them accessible through any AI chat — Claude, ChatGPT, or any MCP client.
Built from real need: Created by a caregiver managing his wife's cancer treatment. Hundreds of documents, dozens of doctors, constantly changing lab results. Oncofiles organizes the chaos so you can focus on treatment, not on finding papers.
Sister project: Oncoteam — an AI agent that analyzes your Oncofiles data: tracks lab trends, searches clinical trials, and prepares questions for your oncologist.
Your data, your control: Everything stays in your Google Drive. No third-party data processing. Disconnect anytime — your files are always yours.
Multi-Patient Support (v4.0+)
Oncofiles supports multiple patients on a single instance. Each patient gets:
Full data isolation — documents, labs, treatment events, emails, and calendar entries are scoped to the patient
Separate bearer tokens — each patient (or caregiver) gets their own
onco_*tokenPer-patient OAuth — Google Drive, Gmail, and Calendar are authorized per patient
Dashboard patient selector — switch between patients in the web dashboard
Onboarding a new patient
Dashboard wizard: Open the dashboard, click "+ New Patient", and follow the 4-step wizard
API:
POST /api/patientswith{patient_id, display_name}— returns a bearer tokenConnect GDrive: Visit
/oauth/authorize/drive?patient_id=Xto authorize document syncTrigger first sync:
POST /api/sync-triggerwith{patient_id}to import documents
Features
76 MCP tools across 14 modules for comprehensive medical data management
14 document categories — labs, pathology, imaging, genetics, surgery, consultation, prescriptions, and more
Lab value tracking — store values, track trends, pre-cycle safety checks for chemo protocols
Google Drive sync — bidirectional sync with automatic OCR companion files
Gmail & Calendar scanning — medical emails and appointments are auto-detected and classified
Clinical research — search PubMed and ClinicalTrials.gov, log research decisions
Treatment timeline — track chemo cycles, surgeries, and other treatment events
Document versioning — track document revisions with full history
AI-powered metadata — automatic summaries, tags, and structured data extraction
Audit logging — every tool call is logged for accountability
Architecture
┌─────────────────┐ MCP Protocol ┌──────────────┐
│ Claude / GPT │◄────────────────────► │ Oncofiles │
│ (AI Assistant) │ streamable-http │ MCP Server │
└─────────────────┘ └──────┬───────┘
│
┌─────────────┼─────────────┐
│ │ │
┌─────▼─────┐ ┌────▼────┐ ┌─────▼─────┐
│ SQLite / │ │ Google │ │ Anthropic │
│ Turso │ │ Drive │ │ Files API │
└───────────┘ └─────────┘ └───────────┘Stack: Python 3.12+ · FastMCP 3.1 · Pydantic · SQLite/Turso · Railway
Quick start
# Clone and install
git clone https://github.com/peter-fusek/oncofiles.git
cd oncofiles
uv sync --extra dev
# Run locally (stdio mode for Claude Desktop)
uv run oncofiles-mcp
# Run tests
uv run pytest
# Lint
uv run ruff checkEnvironment variables
# Required
DATABASE_PATH=data/oncofiles.db
# Optional — cloud database
TURSO_DATABASE_URL=libsql://...
TURSO_AUTH_TOKEN=...
# Optional — Google Drive sync
GOOGLE_DRIVE_FOLDER_ID=...
GOOGLE_OAUTH_CLIENT_ID=...
GOOGLE_OAUTH_CLIENT_SECRET=...
# Optional — remote access
MCP_TRANSPORT=streamable-http # default: stdio
MCP_HOST=0.0.0.0
MCP_PORT=8080
MCP_BEARER_TOKEN=...Connect to Claude Desktop
Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"oncofiles": {
"command": "uv",
"args": ["run", "oncofiles-mcp"],
"cwd": "/path/to/oncofiles"
}
}
}Connect to ChatGPT
Oncofiles works with ChatGPT's MCP integration (Developer Mode). Point ChatGPT to your instance's /mcp endpoint with a bearer token.
Deploy to Railway
The included Dockerfile is ready for Railway deployment:
Push to GitHub
Connect repo in Railway
Set environment variables
Railway auto-deploys on push
Live instance: oncofiles.com
Project structure
src/oncofiles/
├── server.py # FastMCP server, auth, routes, scheduler
├── database/ # Mixin-based DB layer (SQLite/Turso)
├── tools/ # 14 tool modules (76 tools)
│ ├── documents.py # CRUD, search, view, versioning
│ ├── lab_trends.py # Lab values, trends, safety checks
│ ├── clinical.py # Treatment events, research log
│ ├── research.py # PubMed, ClinicalTrials.gov search
│ └── ...
├── sync.py # Bidirectional Google Drive sync
├── gmail_sync.py # Medical email detection and import
├── calendar_sync.py # Calendar event classification
├── enhance.py # AI metadata extraction (Haiku)
├── patient_middleware.py # Per-patient token → context resolution
├── patient_context.py # Patient clinical profile
└── models.py # Pydantic modelsMCP Registry
Listed on the MCP Registry as io.github.peter-fusek/oncofiles.
Contributing
See CONTRIBUTING.md for guidelines.
License
Who's Behind This
The People
Peter Fusek — CEO & Founder
Serial entrepreneur and AI strategist. 4 years at Tatra banka. Co-founded marketlocator (exit to Deutsche Telekom). Advisor to VÚB Bank CEO. 18+ years building technology products.
Built Oncofiles from personal need — managing his wife's cancer treatment across hundreds of documents, dozens of doctors, and constantly changing lab results.
LinkedIn · peter.fusek@instarea.com
Peter Čapkovič — CTO & Co-founder
Senior IT architect with 20+ years in enterprise banking (VÚB). Expert in .NET, Python, SQL, and systems architecture. Led architecture across all Instarea products.
Architecture, development, operations — everything under one roof.
The Company
Instarea — 18 years, 23 products shipped. From telecom analytics and enterprise clients (Callinspector) to mobile-first fintech (InventButton), big data exits (marketlocator → Deutsche Telekom), IoT platforms, and AI-first products (PulseShape, ReplicaCity, HomeGrif).
Oncofiles and Oncoteam are Instarea's latest — built with the same engineering discipline that delivered enterprise-grade products for banking, telecom, and data industries.
10+ verified, synchronized team members available across front-end, back-end, integration, data science, UX/UI, marketing, and cloud ops.
"We take it personally, with our own faces, like family and at work."
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